Relatório - Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	10000
Missing cells	9976
Missing cells (%)	5.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	152.0 B

Variable types

Numeric	11
Categorical	8

Warnings

`Quantidade de Restritivos` is highly correlated with `Modelo Score 2`	High correlation
`Modelo Score 1` is highly correlated with `Modelo Score 2` and 2 other fields	High correlation
`Modelo Score 2` is highly correlated with `Quantidade de Restritivos` and 3 other fields	High correlation
`Modelo Score 3` is highly correlated with `Modelo Score 1` and 2 other fields	High correlation
`Modelo Score 4` is highly correlated with `Modelo Score 1` and 2 other fields	High correlation
`Quantidade de Restritivos` is highly correlated with `Valor dos Restritivos` and 3 other fields	High correlation
`Valor dos Restritivos` is highly correlated with `Quantidade de Restritivos` and 3 other fields	High correlation
`Quantidade de Protestos` is highly correlated with `Valor dos Protestos`	High correlation
`Valor dos Protestos` is highly correlated with `Quantidade de Protestos`	High correlation
`Modelo Score 1` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 2` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 3` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 4` is highly correlated with `Modelo Score 1` and 2 other fields	High correlation
`Quantidade de Restritivos` is highly correlated with `Valor dos Restritivos` and 3 other fields	High correlation
`Valor dos Restritivos` is highly correlated with `Quantidade de Restritivos` and 3 other fields	High correlation
`Quantidade de Protestos` is highly correlated with `Valor dos Protestos`	High correlation
`Valor dos Protestos` is highly correlated with `Quantidade de Protestos`	High correlation
`Modelo Score 1` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 2` is highly correlated with `Quantidade de Restritivos` and 3 other fields	High correlation
`Modelo Score 3` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 4` is highly correlated with `Modelo Score 1` and 1 other fields	High correlation
`Performance 60D9M EVER` is highly correlated with `Performance 90D9M EVER` and 3 other fields	High correlation
`Quantidade de Restritivos` is highly correlated with `Endividamento` and 3 other fields	High correlation
`Endividamento` is highly correlated with `Quantidade de Restritivos` and 3 other fields	High correlation
`Performance 90D9M EVER` is highly correlated with `Performance 60D9M EVER` and 3 other fields	High correlation
`Modelo Score 1` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 4` is highly correlated with `Modelo Score 1` and 2 other fields	High correlation
`Performance 90D12M EVER` is highly correlated with `Performance 60D9M EVER` and 3 other fields	High correlation
`Performance 60D6M EVER` is highly correlated with `Performance 60D9M EVER` and 3 other fields	High correlation
`Performance 30D3M EVER` is highly correlated with `Performance 60D9M EVER` and 3 other fields	High correlation
`Modelo Score 2` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Modelo Score 3` is highly correlated with `Quantidade de Restritivos` and 4 other fields	High correlation
`Performance 60D9M EVER` is highly correlated with `Performance 60D6M EVER` and 3 other fields	High correlation
`Performance 60D6M EVER` is highly correlated with `Performance 60D9M EVER` and 3 other fields	High correlation
`Performance 30D3M EVER` is highly correlated with `Performance 60D9M EVER` and 1 other fields	High correlation
`Performance 90D9M EVER` is highly correlated with `Performance 60D9M EVER` and 2 other fields	High correlation
`Performance 90D12M EVER` is highly correlated with `Performance 60D9M EVER` and 2 other fields	High correlation
`Performance 60D9M EVER` has 1665 (16.7%) missing values	Missing
`Performance 90D9M EVER` has 1665 (16.7%) missing values	Missing
`Performance 90D12M EVER` has 6646 (66.5%) missing values	Missing
`Valor dos Restritivos` is highly skewed (γ1 = 21.08327087)	Skewed
`Valor dos Protestos` is highly skewed (γ1 = 30.00032901)	Skewed
`Nº do cliente` is uniformly distributed	Uniform
`Nº do cliente` has unique values	Unique
`Quantidade de Cheques sem Fundo` has 9687 (96.9%) zeros	Zeros
`Quantidade de Restritivos` has 7149 (71.5%) zeros	Zeros
`Valor dos Restritivos` has 7169 (71.7%) zeros	Zeros
`Quantidade de Protestos` has 9446 (94.5%) zeros	Zeros
`Valor dos Protestos` has 9446 (94.5%) zeros	Zeros

Reproduction

Analysis started	2021-09-26 08:35:24.045493
Analysis finished	2021-09-26 08:36:00.830233
Duration	36.78 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Nº do cliente
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	610115364.5

Minimum	1241258
Maximum	1218989471
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1241258
5-th percentile	62128668.65
Q1	305678311.2
median	610115364.5
Q3	914552417.8
95-th percentile	1158102060
Maximum	1218989471
Range	1217748213
Interquartile range (IQR)	608874106.5

Descriptive statistics

Standard deviation	351586364.2
Coefficient of variation (CV)	0.5762621049
Kurtosis	-1.2
Mean	610115364.5
Median Absolute Deviation (MAD)	304467500
Skewness	3.163326862 × 10^-19
Sum	6.101153645 × 10¹²
Variance	1.236129715 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
632585066	1	< 0.1%
19874669	1	< 0.1%
717714179	1	< 0.1%
969691482	1	< 0.1%
576075898	1	< 0.1%
12080301	1	< 0.1%
986376301	1	< 0.1%
403625506	1	< 0.1%
615169525	1	< 0.1%
353692836	1	< 0.1%
Other values (9990)	9990	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1241258	1	< 0.1%
1363045	1	< 0.1%
1484832	1	< 0.1%
1606619	1	< 0.1%
1728406	1	< 0.1%
1850193	1	< 0.1%
1971980	1	< 0.1%
2093767	1	< 0.1%
2215554	1	< 0.1%
2337341	1	< 0.1%

Value	Count	Frequency (%)
1218989471	1	< 0.1%
1218867684	1	< 0.1%
1218745897	1	< 0.1%
1218624110	1	< 0.1%
1218502323	1	< 0.1%
1218380536	1	< 0.1%
1218258749	1	< 0.1%
1218136962	1	< 0.1%
1218015175	1	< 0.1%
1217893388	1	< 0.1%

Safra
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

2020-05-01 00:00:00 UTC	1699
2020-07-01 00:00:00 UTC	1668
2020-10-01 00:00:00 UTC	1665
2020-09-01 00:00:00 UTC	1659
2020-06-01 00:00:00 UTC	1655

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	230000
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-05-01 00:00:00 UTC
2nd row	2020-05-01 00:00:00 UTC
3rd row	2020-06-01 00:00:00 UTC
4th row	2020-05-01 00:00:00 UTC
5th row	2020-10-01 00:00:00 UTC

Common Values

Value	Count	Frequency (%)
2020-05-01 00:00:00 UTC	1699	17.0%
2020-07-01 00:00:00 UTC	1668	16.7%
2020-10-01 00:00:00 UTC	1665	16.7%
2020-09-01 00:00:00 UTC	1659	16.6%
2020-06-01 00:00:00 UTC	1655	16.6%
2020-08-01 00:00:00 UTC	1654	16.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
00:00:00	10000	33.3%
utc	10000	33.3%
2020-05-01	1699	5.7%
2020-07-01	1668	5.6%
2020-10-01	1665	5.5%
2020-09-01	1659	5.5%
2020-06-01	1655	5.5%
2020-08-01	1654	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	100000	43.5%
2	20000	8.7%
-	20000	8.7%
	20000	8.7%
:	20000	8.7%
1	11665	5.1%
U	10000	4.3%
T	10000	4.3%
C	10000	4.3%
5	1699	0.7%
Other values (4)	6636	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	140000	60.9%
Uppercase Letter	30000	13.0%
Dash Punctuation	20000	8.7%
Space Separator	20000	8.7%
Other Punctuation	20000	8.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	100000	71.4%
2	20000	14.3%
1	11665	8.3%
5	1699	1.2%
7	1668	1.2%
9	1659	1.2%
6	1655	1.2%
8	1654	1.2%

Uppercase Letter

Value	Count	Frequency (%)
U	10000	33.3%
T	10000	33.3%
C	10000	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	20000	100.0%

Space Separator

Value	Count	Frequency (%)
	20000	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	20000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	200000	87.0%
Latin	30000	13.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	100000	50.0%
2	20000	10.0%
-	20000	10.0%
	20000	10.0%
:	20000	10.0%
1	11665	5.8%
5	1699	0.8%
7	1668	0.8%
9	1659	0.8%
6	1655	0.8%

Latin

Value	Count	Frequency (%)
U	10000	33.3%
T	10000	33.3%
C	10000	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	100000	43.5%
2	20000	8.7%
-	20000	8.7%
	20000	8.7%
:	20000	8.7%
1	11665	5.1%
U	10000	4.3%
T	10000	4.3%
C	10000	4.3%
5	1699	0.7%
Other values (4)	6636	2.9%

Estado
Categorical

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

RS	1377
SP	1289
MS	1209
BA	1073
MG	1009
Other values (5)	4043

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	20000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MS
2nd row	MG
3rd row	MS
4th row	RS
5th row	RJ

Common Values

Value	Count	Frequency (%)
RS	1377	13.8%
SP	1289	12.9%
MS	1209	12.1%
BA	1073	10.7%
MG	1009	10.1%
PR	921	9.2%
GO	841	8.4%
SC	807	8.1%
RJ	753	7.5%
TO	721	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
rs	1377	13.8%
sp	1289	12.9%
ms	1209	12.1%
ba	1073	10.7%
mg	1009	10.1%
pr	921	9.2%
go	841	8.4%
sc	807	8.1%
rj	753	7.5%
to	721	7.2%

Most occurring characters

Value	Count	Frequency (%)
S	4682	23.4%
R	3051	15.3%
M	2218	11.1%
P	2210	11.1%
G	1850	9.2%
O	1562	7.8%
B	1073	5.4%
A	1073	5.4%
C	807	4.0%
J	753	3.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	4682	23.4%
R	3051	15.3%
M	2218	11.1%
P	2210	11.1%
G	1850	9.2%
O	1562	7.8%
B	1073	5.4%
A	1073	5.4%
C	807	4.0%
J	753	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	4682	23.4%
R	3051	15.3%
M	2218	11.1%
P	2210	11.1%
G	1850	9.2%
O	1562	7.8%
B	1073	5.4%
A	1073	5.4%
C	807	4.0%
J	753	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	4682	23.4%
R	3051	15.3%
M	2218	11.1%
P	2210	11.1%
G	1850	9.2%
O	1562	7.8%
B	1073	5.4%
A	1073	5.4%
C	807	4.0%
J	753	3.8%

Renda Mensal
Real number (ℝ_≥0)

Distinct	1405
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2780.1557

Minimum	1041
Maximum	33564
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1041
5-th percentile	1105.95
Q1	1404
median	3365
Q3	3492
95-th percentile	4407
Maximum	33564
Range	32523
Interquartile range (IQR)	2088

Descriptive statistics

Standard deviation	1464.592111
Coefficient of variation (CV)	0.5268021898
Kurtosis	58.40624455
Mean	2780.1557
Median Absolute Deviation (MAD)	918
Skewness	3.951733002
Sum	27801557
Variance	2145030.05
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3492	1232	12.3%
3366	437	4.4%
2518	315	3.1%
3365	306	3.1%
3367	303	3.0%
4404	247	2.5%
3368	193	1.9%
2391	145	1.5%
4143	132	1.3%
4277	116	1.2%
Other values (1395)	6574	65.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1041	5	0.1%
1042	7	0.1%
1043	16	0.2%
1044	8	0.1%
1045	62	0.6%
1046	7	0.1%
1047	5	0.1%
1048	7	0.1%
1049	6	0.1%
1050	7	0.1%

Value	Count	Frequency (%)
33564	1	< 0.1%
30932	1	< 0.1%
28769	1	< 0.1%
23907	1	< 0.1%
23583	1	< 0.1%
19237	1	< 0.1%
16831	1	< 0.1%
16009	1	< 0.1%
14858	1	< 0.1%
14499	1	< 0.1%

Endividamento
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Até 25%	7850
Acima de 100%	1257
26 a 50%	422
51 a 75%	287
76 a 100%	184

Length

Max length	13
Median length	7
Mean length	7.8619
Min length	7

Characters and Unicode

Total characters	78619
Distinct characters	17
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	26 a 50%
2nd row	Até 25%
3rd row	Acima de 100%
4th row	Até 25%
5th row	Até 25%

Common Values

Value	Count	Frequency (%)
Até 25%	7850	78.5%
Acima de 100%	1257	12.6%
26 a 50%	422	4.2%
51 a 75%	287	2.9%
76 a 100%	184	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
até	7850	35.4%
25	7850	35.4%
100	1441	6.5%
acima	1257	5.7%
de	1257	5.7%
a	893	4.0%
26	422	1.9%
50	422	1.9%
51	287	1.3%
75	287	1.3%

Most occurring characters

Value	Count	Frequency (%)
	12150	15.5%
%	10000	12.7%
A	9107	11.6%
5	8846	11.3%
2	8272	10.5%
t	7850	10.0%
é	7850	10.0%
0	3304	4.2%
a	2150	2.7%
1	1728	2.2%
Other values (7)	7362	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24135	30.7%
Decimal Number	23227	29.5%
Space Separator	12150	15.5%
Other Punctuation	10000	12.7%
Uppercase Letter	9107	11.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	7850	32.5%
é	7850	32.5%
a	2150	8.9%
c	1257	5.2%
i	1257	5.2%
m	1257	5.2%
d	1257	5.2%
e	1257	5.2%

Decimal Number

Value	Count	Frequency (%)
5	8846	38.1%
2	8272	35.6%
0	3304	14.2%
1	1728	7.4%
6	606	2.6%
7	471	2.0%

Space Separator

Value	Count	Frequency (%)
	12150	100.0%

Other Punctuation

Value	Count	Frequency (%)
%	10000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
A	9107	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	45377	57.7%
Latin	33242	42.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	9107	27.4%
t	7850	23.6%
é	7850	23.6%
a	2150	6.5%
c	1257	3.8%
i	1257	3.8%
m	1257	3.8%
d	1257	3.8%
e	1257	3.8%

Common

Value	Count	Frequency (%)
	12150	26.8%
%	10000	22.0%
5	8846	19.5%
2	8272	18.2%
0	3304	7.3%
1	1728	3.8%
6	606	1.3%
7	471	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70769	90.0%
Latin 1 Sup	7850	10.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12150	17.2%
%	10000	14.1%
A	9107	12.9%
5	8846	12.5%
2	8272	11.7%
t	7850	11.1%
0	3304	4.7%
a	2150	3.0%
1	1728	2.4%
c	1257	1.8%
Other values (6)	6105	8.6%

Latin 1 Sup

Value	Count	Frequency (%)
é	7850	100.0%

Quantidade de Cheques sem Fundo
Real number (ℝ_≥0)

ZEROS

Distinct	30
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1649

Minimum	0
Maximum	64
Zeros	9687
Zeros (%)	96.9%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	64
Range	64
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.56414598
Coefficient of variation (CV)	9.485421343
Kurtosis	458.3460055
Mean	0.1649
Median Absolute Deviation (MAD)	0
Skewness	17.79922507
Sum	1649
Variance	2.446552645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	9687	96.9%
1	112	1.1%
2	46	0.5%
3	34	0.3%
5	16	0.2%
6	15	0.1%
4	14	0.1%
7	12	0.1%
10	9	0.1%
11	7	0.1%
Other values (20)	48	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9687	96.9%
1	112	1.1%
2	46	0.5%
3	34	0.3%
4	14	0.1%
5	16	0.2%
6	15	0.1%
7	12	0.1%
8	5	0.1%
9	6	0.1%

Value	Count	Frequency (%)
64	1	< 0.1%
40	1	< 0.1%
34	1	< 0.1%
33	1	< 0.1%
31	2	< 0.1%
26	1	< 0.1%
25	3	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	2	< 0.1%

Quantidade de Restritivos
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7111

Minimum	-7
Maximum	35
Zeros	7149
Zeros (%)	71.5%
Negative	27
Negative (%)	0.3%
Memory size	78.2 KiB

Quantile statistics

Minimum	-7
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	35
Range	42
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.823285284
Coefficient of variation (CV)	2.564034994
Kurtosis	50.50499823
Mean	0.7111
Median Absolute Deviation (MAD)	0
Skewness	5.493588771
Sum	7111
Variance	3.324369227
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	7149	71.5%
1	1350	13.5%
2	590	5.9%
3	317	3.2%
4	188	1.9%
5	121	1.2%
6	78	0.8%
7	56	0.6%
8	33	0.3%
9	25	0.2%
Other values (19)	93	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7	1	< 0.1%
-6	1	< 0.1%
-4	1	< 0.1%
-3	2	< 0.1%
-1	22	0.2%
0	7149	71.5%
1	1350	13.5%
2	590	5.9%
3	317	3.2%
4	188	1.9%

Value	Count	Frequency (%)
35	1	< 0.1%
27	1	< 0.1%
26	3	< 0.1%
20	3	< 0.1%
19	6	0.1%
18	2	< 0.1%
17	1	< 0.1%
16	6	0.1%
15	2	< 0.1%
14	6	0.1%

Valor dos Restritivos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	1997
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1635.6634

Minimum	0
Maximum	462266
Zeros	7169
Zeros (%)	71.7%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	145
95-th percentile	5888.85
Maximum	462266
Range	462266
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	10741.23154
Coefficient of variation (CV)	6.566896062
Kurtosis	691.8389731
Mean	1635.6634
Median Absolute Deviation (MAD)	0
Skewness	21.08327087
Sum	16356634
Variance	115374055
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7169	71.7%
93	9	0.1%
264	8	0.1%
149	8	0.1%
69	7	0.1%
150	7	0.1%
159	7	0.1%
87	6	0.1%
146	6	0.1%
173	6	0.1%
Other values (1987)	2767	27.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7169	71.7%
2	1	< 0.1%
3	1	< 0.1%
5	3	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
15	1	< 0.1%
17	3	< 0.1%
18	1	< 0.1%
20	2	< 0.1%

Value	Count	Frequency (%)
462266	1	< 0.1%
434837	1	< 0.1%
219741	1	< 0.1%
213985	1	< 0.1%
205899	1	< 0.1%
179147	1	< 0.1%
150566	1	< 0.1%
147035	1	< 0.1%
145963	1	< 0.1%
141567	1	< 0.1%

Quantidade de Protestos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1529

Minimum	0
Maximum	37
Zeros	9446
Zeros (%)	94.5%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.173907746
Coefficient of variation (CV)	7.677617697
Kurtosis	362.0661673
Mean	0.1529
Median Absolute Deviation (MAD)	0
Skewness	16.57073151
Sum	1529
Variance	1.378059396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	9446	94.5%
1	311	3.1%
2	113	1.1%
3	32	0.3%
4	27	0.3%
6	14	0.1%
5	9	0.1%
7	9	0.1%
9	6	0.1%
8	5	0.1%
Other values (14)	28	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9446	94.5%
1	311	3.1%
2	113	1.1%
3	32	0.3%
4	27	0.3%
5	9	0.1%
6	14	0.1%
7	9	0.1%
8	5	0.1%
9	6	0.1%

Value	Count	Frequency (%)
37	1	< 0.1%
33	2	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
22	2	< 0.1%
21	1	< 0.1%
19	1	< 0.1%
17	1	< 0.1%
16	3	< 0.1%
14	2	< 0.1%

Valor dos Protestos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	492
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	209.7243

Minimum	0
Maximum	133742
Zeros	9446
Zeros (%)	94.5%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	150.15
Maximum	133742
Range	133742
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2700.805532
Coefficient of variation (CV)	12.87788555
Kurtosis	1169.532221
Mean	209.7243
Median Absolute Deviation (MAD)	0
Skewness	30.00032901
Sum	2097243
Variance	7294350.522
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9446	94.5%
200	7	0.1%
130	4	< 0.1%
120	4	< 0.1%
296	3	< 0.1%
95	3	< 0.1%
663	3	< 0.1%
235	3	< 0.1%
464	3	< 0.1%
323	3	< 0.1%
Other values (482)	521	5.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9446	94.5%
25	1	< 0.1%
31	1	< 0.1%
34	1	< 0.1%
68	1	< 0.1%
70	1	< 0.1%
81	1	< 0.1%
85	2	< 0.1%
86	1	< 0.1%
89	1	< 0.1%

Value	Count	Frequency (%)
133742	1	< 0.1%
117049	1	< 0.1%
88893	1	< 0.1%
68596	1	< 0.1%
51330	1	< 0.1%
49024	1	< 0.1%
48658	1	< 0.1%
43454	1	< 0.1%
38585	1	< 0.1%
37788	1	< 0.1%

Modelo Score 1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	969
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	459.1828

Minimum	1
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	47
Q1	216
median	481
Q3	672.25
95-th percentile	876
Maximum	999
Range	998
Interquartile range (IQR)	456.25

Descriptive statistics

Standard deviation	264.0135074
Coefficient of variation (CV)	0.5749638432
Kurtosis	-1.13309099
Mean	459.1828
Median Absolute Deviation (MAD)	231
Skewness	-0.003480547069
Sum	4591828
Variance	69703.1321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	215	2.1%
201	87	0.9%
473	71	0.7%
87	61	0.6%
250	59	0.6%
220	57	0.6%
366	50	0.5%
158	50	0.5%
612	43	0.4%
114	42	0.4%
Other values (959)	9265	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	17	0.2%
2	215	2.1%
3	22	0.2%
4	5	0.1%
7	4	< 0.1%
8	3	< 0.1%
12	1	< 0.1%
13	15	0.1%
16	8	0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
999	35	0.4%
998	1	< 0.1%
997	1	< 0.1%
996	3	< 0.1%
995	1	< 0.1%
994	1	< 0.1%
991	6	0.1%
987	1	< 0.1%
986	1	< 0.1%
985	1	< 0.1%

Modelo Score 2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	546
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	524.1838

Minimum	1
Maximum	811
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	208
Q1	253
median	627
Q3	669
95-th percentile	715
Maximum	811
Range	810
Interquartile range (IQR)	416

Descriptive statistics

Standard deviation	200.4944334
Coefficient of variation (CV)	0.3824888014
Kurtosis	-0.9990197611
Mean	524.1838
Median Absolute Deviation (MAD)	55
Skewness	-0.8393160333
Sum	5241838
Variance	40198.01782
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
680	115	1.1%
667	92	0.9%
663	91	0.9%
669	85	0.9%
658	80	0.8%
672	78	0.8%
653	77	0.8%
650	74	0.7%
223	73	0.7%
676	70	0.7%
Other values (536)	9165	91.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	68	0.7%
79	1	< 0.1%
81	1	< 0.1%
82	1	< 0.1%
89	1	< 0.1%
96	4	< 0.1%
97	1	< 0.1%
98	6	0.1%
99	1	< 0.1%
101	2	< 0.1%

Value	Count	Frequency (%)
811	1	< 0.1%
797	1	< 0.1%
782	1	< 0.1%
779	2	< 0.1%
778	3	< 0.1%
777	1	< 0.1%
775	2	< 0.1%
773	1	< 0.1%
772	1	< 0.1%
771	6	0.1%

Modelo Score 3
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	756
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	483.2801

Minimum	1
Maximum	922
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	188
Q1	277
median	482
Q3	669
95-th percentile	829
Maximum	922
Range	921
Interquartile range (IQR)	392

Descriptive statistics

Standard deviation	215.5618968
Coefficient of variation (CV)	0.4460392571
Kurtosis	-1.230702593
Mean	483.2801
Median Absolute Deviation (MAD)	199
Skewness	0.1326896553
Sum	4832801
Variance	46466.93134
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
266	225	2.2%
250	187	1.9%
258	184	1.8%
235	182	1.8%
243	177	1.8%
282	174	1.7%
274	171	1.7%
290	147	1.5%
227	142	1.4%
297	141	1.4%
Other values (746)	8270	82.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	39	0.4%
70	1	< 0.1%
78	1	< 0.1%
82	1	< 0.1%
83	1	< 0.1%
86	2	< 0.1%
91	2	< 0.1%
92	1	< 0.1%
94	2	< 0.1%
100	2	< 0.1%

Value	Count	Frequency (%)
922	2	< 0.1%
921	1	< 0.1%
920	2	< 0.1%
919	1	< 0.1%
914	5	0.1%
913	1	< 0.1%
911	2	< 0.1%
910	2	< 0.1%
908	1	< 0.1%
906	1	< 0.1%

Modelo Score 4
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	551
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	695.8885

Minimum	1
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	527
Q1	630
median	700
Q3	772
95-th percentile	863
Maximum	999
Range	998
Interquartile range (IQR)	142

Descriptive statistics

Standard deviation	115.2371712
Coefficient of variation (CV)	0.1655971771
Kurtosis	7.53064024
Mean	695.8885
Median Absolute Deviation (MAD)	71
Skewness	-1.428386636
Sum	6958885
Variance	13279.60563
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
673	75	0.8%
1	68	0.7%
711	61	0.6%
672	53	0.5%
644	51	0.5%
698	50	0.5%
734	50	0.5%
712	49	0.5%
740	49	0.5%
765	48	0.5%
Other values (541)	9446	94.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	68	0.7%
375	1	< 0.1%
381	2	< 0.1%
383	1	< 0.1%
401	1	< 0.1%
405	1	< 0.1%
409	1	< 0.1%
411	1	< 0.1%
415	1	< 0.1%
416	1	< 0.1%

Value	Count	Frequency (%)
999	5	0.1%
992	1	< 0.1%
989	1	< 0.1%
985	1	< 0.1%
981	1	< 0.1%
974	1	< 0.1%
972	1	< 0.1%
971	3	< 0.1%
970	1	< 0.1%
969	1	< 0.1%

Performance 30D3M EVER
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

BOM	8756
MAU	1244

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BOM
2nd row	BOM
3rd row	BOM
4th row	MAU
5th row	BOM

Common Values

Value	Count	Frequency (%)
BOM	8756	87.6%
MAU	1244	12.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bom	8756	87.6%
mau	1244	12.4%

Most occurring characters

Value	Count	Frequency (%)
M	10000	33.3%
B	8756	29.2%
O	8756	29.2%
A	1244	4.1%
U	1244	4.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	10000	33.3%
B	8756	29.2%
O	8756	29.2%
A	1244	4.1%
U	1244	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	10000	33.3%
B	8756	29.2%
O	8756	29.2%
A	1244	4.1%
U	1244	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	10000	33.3%
B	8756	29.2%
O	8756	29.2%
A	1244	4.1%
U	1244	4.1%

Performance 60D6M EVER
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

BOM	8290
MAU	1710

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MAU
2nd row	BOM
3rd row	BOM
4th row	BOM
5th row	BOM

Common Values

Value	Count	Frequency (%)
BOM	8290	82.9%
MAU	1710	17.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bom	8290	82.9%
mau	1710	17.1%

Most occurring characters

Value	Count	Frequency (%)
M	10000	33.3%
B	8290	27.6%
O	8290	27.6%
A	1710	5.7%
U	1710	5.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	30000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	10000	33.3%
B	8290	27.6%
O	8290	27.6%
A	1710	5.7%
U	1710	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	10000	33.3%
B	8290	27.6%
O	8290	27.6%
A	1710	5.7%
U	1710	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	10000	33.3%
B	8290	27.6%
O	8290	27.6%
A	1710	5.7%
U	1710	5.7%

Performance 60D9M EVER
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1665
Missing (%)	16.7%
Memory size	78.2 KiB

BOM	6390
MAU	1945

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	25005
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MAU
2nd row	BOM
3rd row	BOM
4th row	MAU
5th row	BOM

Common Values

Value	Count	Frequency (%)
BOM	6390	63.9%
MAU	1945	19.4%
(Missing)	1665	16.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bom	6390	76.7%
mau	1945	23.3%

Most occurring characters

Value	Count	Frequency (%)
M	8335	33.3%
B	6390	25.6%
O	6390	25.6%
A	1945	7.8%
U	1945	7.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25005	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	8335	33.3%
B	6390	25.6%
O	6390	25.6%
A	1945	7.8%
U	1945	7.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25005	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	8335	33.3%
B	6390	25.6%
O	6390	25.6%
A	1945	7.8%
U	1945	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25005	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	8335	33.3%
B	6390	25.6%
O	6390	25.6%
A	1945	7.8%
U	1945	7.8%

Performance 90D9M EVER
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1665
Missing (%)	16.7%
Memory size	78.2 KiB

BOM	6770
MAU	1565

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	25005
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MAU
2nd row	BOM
3rd row	BOM
4th row	BOM
5th row	BOM

Common Values

Value	Count	Frequency (%)
BOM	6770	67.7%
MAU	1565	15.7%
(Missing)	1665	16.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bom	6770	81.2%
mau	1565	18.8%

Most occurring characters

Value	Count	Frequency (%)
M	8335	33.3%
B	6770	27.1%
O	6770	27.1%
A	1565	6.3%
U	1565	6.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25005	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	8335	33.3%
B	6770	27.1%
O	6770	27.1%
A	1565	6.3%
U	1565	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25005	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	8335	33.3%
B	6770	27.1%
O	6770	27.1%
A	1565	6.3%
U	1565	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25005	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	8335	33.3%
B	6770	27.1%
O	6770	27.1%
A	1565	6.3%
U	1565	6.3%

Performance 90D12M EVER
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	6646
Missing (%)	66.5%
Memory size	78.2 KiB

BOM	2558
MAU	796

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	10062
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MAU
2nd row	BOM
3rd row	BOM
4th row	MAU
5th row	BOM

Common Values

Value	Count	Frequency (%)
BOM	2558	25.6%
MAU	796	8.0%
(Missing)	6646	66.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bom	2558	76.3%
mau	796	23.7%

Most occurring characters

Value	Count	Frequency (%)
M	3354	33.3%
B	2558	25.4%
O	2558	25.4%
A	796	7.9%
U	796	7.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10062	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	3354	33.3%
B	2558	25.4%
O	2558	25.4%
A	796	7.9%
U	796	7.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10062	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	3354	33.3%
B	2558	25.4%
O	2558	25.4%
A	796	7.9%
U	796	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	3354	33.3%
B	2558	25.4%
O	2558	25.4%
A	796	7.9%
U	796	7.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Nº do cliente	Safra	Estado	Renda Mensal	Endividamento	Quantidade de Restritivos	Valor dos Restritivos	Quantidade de Protestos	Valor dos Protestos	Modelo Score 1	Modelo Score 2	Modelo Score 3	Modelo Score 4	Performance 30D3M EVER	Performance 60D6M EVER	Performance 60D9M EVER	Performance 90D9M EVER	Performance 90D12M EVER
0	6.325851e+08	2020-05-01 00:00:00 UTC	MS	1076.0	26 a 50%	2.0	418.0	0.0	0.0	141.0	236.0	196.0	405.0	BOM	MAU	MAU	MAU	MAU
1	1.190978e+09	2020-05-01 00:00:00 UTC	MG	12709.0	Até 25%	0.0	0.0	0.0	0.0	767.0	646.0	805.0	946.0	BOM	BOM	BOM	BOM	BOM
2	1.089165e+09	2020-06-01 00:00:00 UTC	MS	2518.0	Acima de 100%	4.0	32306.0	0.0	0.0	67.0	238.0	196.0	563.0	BOM	BOM	BOM	BOM	BOM
3	1.342327e+08	2020-05-01 00:00:00 UTC	RS	1090.0	Até 25%	0.0	0.0	0.0	0.0	245.0	523.0	290.0	698.0	MAU	BOM	MAU	BOM	MAU
4	1.055186e+09	2020-10-01 00:00:00 UTC	RJ	1155.0	Até 25%	0.0	0.0	0.0	0.0	697.0	718.0	645.0	816.0	BOM	BOM	NaN	NaN	NaN
5	9.746847e+08	2020-06-01 00:00:00 UTC	MG	2518.0	Até 25%	0.0	0.0	0.0	0.0	901.0	681.0	827.0	884.0	BOM	BOM	BOM	BOM	BOM
6	5.720569e+08	2020-09-01 00:00:00 UTC	BA	4278.0	Até 25%	0.0	0.0	0.0	0.0	683.0	679.0	680.0	772.0	BOM	BOM	BOM	BOM	NaN
7	4.931390e+08	2020-10-01 00:00:00 UTC	TO	4548.0	Até 25%	0.0	0.0	0.0	0.0	837.0	659.0	676.0	782.0	BOM	BOM	NaN	NaN	NaN
8	1.529879e+08	2020-06-01 00:00:00 UTC	MG	1723.0	Até 25%	0.0	0.0	0.0	0.0	433.0	614.0	521.0	698.0	BOM	BOM	BOM	BOM	BOM
9	6.879982e+08	2020-06-01 00:00:00 UTC	MG	1958.0	Acima de 100%	9.0	6856.0	1.0	106.0	141.0	212.0	266.0	645.0	BOM	BOM	BOM	BOM	BOM

Last rows

	Nº do cliente	Safra	Estado	Renda Mensal	Endividamento	Quantidade de Restritivos	Valor dos Restritivos	Quantidade de Protestos	Valor dos Protestos	Modelo Score 1	Modelo Score 2	Modelo Score 3	Modelo Score 4	Performance 30D3M EVER	Performance 60D6M EVER	Performance 60D9M EVER	Performance 90D9M EVER	Performance 90D12M EVER
9990	7.252650e+08	2020-05-01 00:00:00 UTC	TO	2391.0	Acima de 100%	3.0	4686.0	0.0	0.0	88.0	230.0	243.0	617.0	BOM	BOM	BOM	BOM	BOM
9991	5.464817e+08	2020-08-01 00:00:00 UTC	TO	1128.0	26 a 50%	1.0	441.0	0.0	0.0	25.0	218.0	188.0	631.0	BOM	BOM	BOM	BOM	NaN
9992	1.062859e+09	2020-06-01 00:00:00 UTC	RS	3627.0	Até 25%	0.0	0.0	0.0	0.0	799.0	714.0	748.0	808.0	BOM	BOM	BOM	BOM	BOM
9993	1.939083e+08	2020-08-01 00:00:00 UTC	PR	4278.0	Até 25%	0.0	0.0	1.0	199.0	296.0	696.0	765.0	687.0	BOM	BOM	BOM	BOM	NaN
9994	1.034848e+09	2020-06-01 00:00:00 UTC	PR	4404.0	51 a 75%	14.0	1165.0	0.0	0.0	133.0	229.0	219.0	579.0	BOM	BOM	MAU	MAU	MAU
9995	6.965247e+06	2020-07-01 00:00:00 UTC	MS	4281.0	Até 25%	0.0	0.0	0.0	0.0	574.0	614.0	418.0	761.0	MAU	MAU	MAU	MAU	NaN
9996	3.511353e+08	2020-07-01 00:00:00 UTC	MG	4274.0	Até 25%	2.0	352.0	0.0	0.0	126.0	213.0	243.0	531.0	BOM	BOM	BOM	BOM	NaN
9997	7.839663e+08	2020-05-01 00:00:00 UTC	RS	3365.0	Até 25%	0.0	0.0	0.0	0.0	627.0	649.0	491.0	655.0	BOM	BOM	BOM	BOM	BOM
9998	4.603782e+08	2020-06-01 00:00:00 UTC	SC	2393.0	Até 25%	0.0	0.0	0.0	0.0	605.0	658.0	740.0	892.0	BOM	BOM	BOM	BOM	BOM
9999	3.456549e+08	2020-10-01 00:00:00 UTC	TO	1292.0	Até 25%	0.0	0.0	0.0	0.0	572.0	665.0	548.0	711.0	BOM	BOM	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Dash Punctuation

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length